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Fuzzy cognitive maps with generic algorithm for goal-oriented decision support

Khan, M.S., Khor, S. and Chong, A. (2004) Fuzzy cognitive maps with generic algorithm for goal-oriented decision support. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 12 (supp02). pp. 31-42.

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Fuzzy cognitive maps are signed directed graphs used to model the evolution of scenarios with time. FCMs can be useful in decision support for predicting future states given an initial state. Genetic algorithms (GA) are well-established tools for optimization. This paper concerns the use of FCMs in goal-directed analysis of scenarios for aiding decision making. A methodology for GA-based goal-directed analysis is presented. The search for the initial stimulus state, that over time leads to a target state of interest, is optimized using GA. This initial state found can be used to answer the question – what course of events leads to a certain state in a given scenario?

Item Type: Journal Article
Murdoch Affiliation(s): School of Information Technology
Publisher: World Scientific Publishing Co.
Copyright: © 2004 World Scientific Publishing Co Pte Ltd
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